Nature Materials

Microtubules (MTs) and their motor proteins collectively harness chemical energy to generate mechanical work, driving some of the most coordinated self-organized dynamics in living cells. The unique properties of these molecules also make them versatile building blocks of cytoskeletal active matter and biomimetic nanomachines that recapitulate cellular motility, emergent pattern formation, and motor-driven transport. However, these canonical systems use MTs of fixed length and do not incorporate the natural ability of MTs to grow and regenerate. Here, we go beyond these limits by using dynamic self-amplifying branched MT networks. Driven by kinesin-1 and cytoplasmic dynein activity, surface-gliding branched MT bundles undergo swarming that yields large-scale collective MT architectures with several sought-after features. They are polar and orientationally aligned, dense, span millimeter scales, and persist over hours. We then show that these features enable molecular transport along the swarm at unprecedented capacities, with up to six million motor complexes walking in parallel across millimeter-scale distances over hours. Our results introduce a new regime in cytoskeletal active matter in which the interplay between motor-driven activity and filament generation via branching leads to emergent polar order in proliferating swarms. Such emergent polarity makes these swarms suitable for engineering scalable transport nanotechnologies and programmable soft materials.

Governing thermal transport in engineered materials creates opportunities to redirect and recover the excess heat generated in electronic and energy-conversion devices. Materials that pair low cross-plane thermal conductivity with high in-plane thermal conductivity are particularly valuable because they confine heat and channel it away from sensitive regions, preventing localized device failure. Two-dimensional crystals are efficient building blocks for such anisotropic thermal conductors, but they are brittle, and the polymer composites used to toughen them usually forfeit much of the intrinsic anisotropy: in conventional percolation-based design, filler fraction is the only handle available, and it governs both in-plane and cross-plane conduction. Here we report a composite of Ti3C2Tx (MXene) nanosheets and squid ring teeth (SRT) inspired recombinant tandem-repeat (TR) proteins in which the protein serves as a molecular template and bridge, setting the spacing between nanosheets with angstrom-level precision through the number of tandem-repeat units and independently of the filler fraction. This structural handle provides a second, independent design parameter. At a fixed MXene loading, the number of repeats tunes the cross-plane conductivity (0.30 to 0.93 W/mK) and, with it, the thermal anisotropy ratio over a wide range (from about 70 down to 17), while the in-plane conductivity stays high (16 to 21 W/mK). We rationalize these trends with a Gaussian Network Model (GNM) of the protein embedded in a two-phase layered medium, which reproduces the measured directional conductivities from a single structural parameter and identifies the protein gallery as the cross-plane bottleneck. Extending the model to a mechanically loaded five-period stack, we find that the anisotropy is robust to reversible compression and twist, changing by only a few percent, so the number of tandem repeats, not the applied strain, is the dominant design handle. Because anisotropy is tuned structurally rather than volumetrically, these protein-MXene composites decouple thermal anisotropy from filler content, pointing toward flexible thermal materials that are not bound by the rules of mixture and percolation.

Biohybrid robots combining compliant synthetic support structures with biological actuators could enable future applications ranging from precision microsurgery to unmanned exploration. Machines actuated by living skeletal muscles are capable of adaptive behaviors, such as sensing and responding to environmental stimuli in real-time, offering functional advantages over non-biological actuators. However, typical skeletal muscle-powered biohybrid robots depend on 3D tissues which require large cell volumes and offer limited control of muscle fiber alignment, thus reducing efficiency of force generation and transduction. Here, we present a locomotive biohybrid robot powered by 2D monolayers, or thin films, of precisely aligned skeletal muscle fibers on a micropatterned hydrogel skeleton. We demonstrate how varying skeleton design parameters, ranging from material stiffness to microscale topology, impacts muscle fiber alignment and resultant actuation strains, generating forces 10X higher than previous 2D skeletal muscle actuators, improving untethered actuation longevity by [~]4500X from < 10 minutes to > 30 days, and increasing efficiency of muscle force output (force per unit volume of muscle) by 20X as compared to 3D muscles. Utilizing our optimized design for skeletal muscle thin films, we create a multi-limbed robot composed of independent muscle-powered fins capable of on/off control and frequency-dependent speed control. With these control inputs, we achieve steered multi-directional locomotion at speeds up to 4 body lengths per minute in straight movement and 1200 degrees per minute in rotational movement, highlighting potential for such actuators to be transformed into long-lasting functional soft robots.

Granular scaffolds have emerged as promising platforms for tissue regeneration, offering injectability and cell-scale porosity that support robust cell infiltration and tissue formation. However, the isotropic pore structure of spherical building blocks does not provide the directional cues needed to guide organized tissue formation. Addressing this requires asking not just whether granular scaffolds can be made anisotropic, but whether directional cues persist across the pore network at scales relevant to cell behavior. Using high aspect ratio GelMA hydrogel fibers as building blocks, we demonstrate that spherical granular materials lose orientational coherence at the cellular scale, confirming that isotropic building blocks are fundamentally incapable of providing structural guidance beyond individual pore neighborhoods. In contrast, fibrous building blocks extend persistence into the multicellular range, occupying an intermediate architectural regime exhibiting locally coherent but globally variable organization, rather than simple isotropic or uniaxial alignment, that has previously been inaccessible to granular scaffold design. We show this regime is functionally meaningful: myotubes undergo contact guidance through locally persistent but globally variable pore structure, and greater persistence is associated with increased myotube elongation and multinucleation in primary human muscle progenitor cells. Together these results expand the design space for granular scaffolds beyond pore size and porosity, and establish persistence as a variable linking granular scaffold architecture to organized tissue formation.

Summary ParagraphTissues and organs in living organisms represent centimeter-scale hierarchical architectures comprising nano-to microscale, uniaxially aligned extracellular matrix (ECM) fibres with high mechanical strength, integrated with cellular components, as exemplified in tendon, skin, cartilage, bone, and blood vessels1. Here, we present a liquid-liquid interfacial spinning method to produce highly uniaxially aligned, centimeter-scale collagen fibres. The dried fibres exhibit exceptional mechanical properties, with fracture strength of 280 MPa, Youngs modulus of 6 GPa, and toughness of 17 MJ m-3, comparable to spider silk and tendon collagen, and exceeding supramolecular and double-network hydrogels1. Incorporating living cells into the collagen solution yielded centimeter-scale, cell-laden aligned fibres, with densely adherent, uniaxially aligned cells and over 80% viability. Myoblast-laden fibres recapitulate biological features of fibrotic muscle tissues, as observed in type II diabetes2. Interfacial collagen assembly further enables fabrication of dimension-controlled constructs, like 2D sheets, 0D capsules, and 1D tubes, thus providing modular building blocks for centimeter-scale 3D tissues and organ-like structures. This approach offers a versatile platform to engineer mechanically robust, cell-laden tissues with controlled hierarchical architecture.

Microstructures created with flow lithography exhibit distinct functionality depending on the shape and composition of the precursor fluids, enabling applications from tissue engineering to anti-counterfeiting. However, current techniques rely on static nozzle geometries or passive hydrodynamic focusing, which commit to a fixed structure and limit dynamic reconfiguration of material architecture during fabrication. Here, we introduce ActiSculpt, an acoustofluidic platform that replaces in-channel physical structures with programmable, electronically driven acoustic streaming. By exploiting the interplay between laminar stability and acoustic streaming, we decouple deterministic fluid deformation from chaotic mixing, achieving a continuous cross-sectional displacement sensitivity of ~15 m/V. We demonstrate the generation of a diverse library of hydrogel particles whose cross-sectional moments of inertia are tunable up to 5.5-fold, establishing a direct, geometry-mediated link between acoustic parameters and the moments that govern bending and torsional rigidity. We further demonstrate continuous fiber fabrication in which acoustic parameters are varied in real time, encoding structural variation along the fibers length. The result is a platform that overcomes the one-device, one-geometry constraint of existing techniques, enabling not only on-demand reconfiguration between fabrication runs but also real-time control of material architecture. This spatiotemporal control establishes a new design axis for soft-material manufacturing.

Engineering stable multicellular living materials remains difficult because distinct partners require incompatible local microenvironments, while sustained cooperation depends on integration across multiple spatial scales. Here we show that hierarchical spatial organization stabilizes algal-fungal living materials and enables sustained carbon fixation. Compartmentalized seed-seedcase units create partner compatible local niches for Chlorella vulgaris and Pleurotus ostreatus, while fungal outgrowth bridges neighboring units into an integrated artificial lichen. This transition converts localized coexistence into a mechanically coherent assembly that sustains net CO2 drawdown together with O2 production in closed systems and restores carbon fixation activity after repeated CO2 replenishment. A printable formulation further enables macroscopic architecture with enhanced volumetric carbon-fixation performance. Transcriptomics reveals division of labor between algal carbon fixation and fungal redox and matrix support functions, whereas perturbation assays demonstrate functional robustness. These results establish hierarchical spatial organization as a design principle for stable cooperative living materials. TeaserProgrammable algal-fungal assemblies turn spatial design into durable carbon capture.

Engineered living materials (ELMs) harness the adaptive and self-replicating capabilities of biological systems to create functional materials for sensing, catalysis, and biomineralization. While most ELM strategies rely on static microbial assemblies, the role of bacterial motility in structuring living materials remains unexplored. Here, for the first time, we demonstrate how swarming motility in Escherichia coli MG1655 can be induced to guide spatio-temporally organized calcium phosphate mineralization. The mineralized calcium phosphate is characterized by scanning electron microscopy and elemental analysis. By systematically varying phosphate sources and their concentrations in calcium-rich media, we observe the emergence of regularly spaced concentric mineralized patterns. The previously undocumented observation of the concentric patterns was rationalized through a continuum model that captures the spatiotemporal coupling between swarm expansion and mineral deposition. The model shows that this coupling can generate recurrent front arrest and restart, leading to concentric ring formation. Finally, we show that altering the phosphate species results in distinct mineral morphologies. Together, this work establishes a novel framework for integrating bacterial swarming with biomineralization, enabling dynamic and programmable pattern formation in ELMs.

In cells, cytoskeletal filaments such as microtubules are dissipative polymers that switch stochastically between growth and rapid collapse, a behaviour known as dynamic instability. This switching is coupled to nucleotide hydrolysis, so a filament's fate depends on the chemical state of its subunits and the free-monomer pool. Previously reported synthetic assemblies can be cycled between assembled and disassembled states, but the switch is typically set by the global fuel level rather than by a state stored within each monomer. Here we demonstrate a DNA/RNA hybrid polymer in which every monomer holds a one-bit internal state, assembly-competent or inactivated, flipped irreversibly by cleavage of an internal RNA linkage. The bit is written by two routes sharing the same transesterification chemistry: a slow spontaneous cleavage giving each monomer an intrinsic lifetime, and a fast, site-specific write by a programmable DNAzyme. Because inactivation is irreversible, sustained cycling requires continuous regeneration of active monomer, holding the system in a non-equilibrium steady state in which filaments undergo repeated depolymerization and rescue at frequencies near 0.2 (min)-1. We also find that the filaments form meshes auto-catalytically. Because each crosslink recruits filaments from the pool, crosslinking accelerates autocatalytically, driving a percolation transition to a system-spanning network that continuously remodels as its filaments turn over. Thus the timing of switching can be stored within individual monomers rather than imposed as a global threshold -providing a route to autonomously remodelling active materials.

Microtubules are central components of cytoskeletal transport systems and have been widely repurposed as active elements in motor-driven nanodevices. However, site-specific functionalization of stabilized microtubules remains a fundamental challenge, as the tubulin lattice presents chemically indistinguishable binding sites along its length. Here we report a strategy for selective end-functionalization of stabilized microtubules using DNA origami nanostructures. By coupling DNA origami to Fab fragments targeting acetylated -tubulin Lys40 within the microtubule lumen, and exploiting steric exclusion of the origami from the lattice interior, binding is confined to accessible sites at microtubule ends and lattice defects. Using a six-helix bundle origami as a minimal construct, we demonstrate selective tip labelling of gliding microtubules without perturbing kinesin-driven motility. The same structures additionally mark lattice defects, enabling dynamic visualization of defect sites during transport. Furthermore, we show that tip-bound origami can hybridize with complementary DNA strands to capture cargo from surfaces in motion, establishing programmable, end-specific loading. This approach introduces a generalizable route to spatially controlled functionalization of cytoskeletal filaments, enabling new capabilities in molecular transport, nanoscale assembly, and the study of microtubule integrity and repair.

Gene order is a powerful design principle for protein nanomachines. In nature, gene organisation ensures the precise assembly of functional protein nanostructures. We demonstrate how genetic repositioning of the key structural gene pduN, within the operon encoding a self-assembling protein nanocompartment, sculpts the morphology and function of bacterial microcompartments (BMCs). Relocating pduN to new operonic positions dramatically altered the size, shape, and catalytic output of BMCs, despite identical protein sequences. These shifts reveal how gene order may control nanoscale assembly and compartmentalised function. Our findings establish operon architecture as a programmable genetic framework for nanostructure morphogenesis and provide a synthetic biology strategy to engineer self-assembling nanodevices with customised geometries and activities.

Engineered living materials seek to capture the sensitivity, responsiveness, and programmable characteristics of biological systems. One emergent property of living systems is genetically driven spatial patterning, which controls cell differentiation and the development of complex multicellular organisms. Inspired by this capability, we use bacteria to spatially control material assembly. In our system, extracellular electron transfer (EET) flux from Shewanella oneidensis drives hydrogel synthesis via copper-catalyzed radical polymerization. We first construct a recombinant quorum sensing system in S. oneidensis that allows for cell-cell communication between "sender" and "receiver" cells through an autoinducer. We then examine controlled gene expression and EET-driven chemical transformation in various synthetic consortia. Via diffusion through agarose, we examine 2D patterns of gene expression relative to localized sender cell populations and demonstrate controlled hydrogel crosslinking in predictable patterns. Finally, we apply computational methods and NOT logic in "receiver" cells towards more complex patterns of gene expression. Our results highlight the potential of bacteria to program material systems with life-like properties including self-assembly, environmental responsiveness, and patterned differentiation.

In non-equilibrium (active) systems, increased driving is commonly assumed to amplify energy dissipation. This frames the efficiency of protein-based machines as a fixed or monotonically decreasing function with driving. Using picowatt-sensitive calorimetry and advanced entropy production metrics in reconstituted actomyosin networks, we show that energy dissipation depends non-monotonically on myosin-generated stress (driving). At low driving, dissipation increases proportionally with stress, consistent with near-equilibrium linear response. At high driving, however, dissipation decreases, revealing a far-from-equilibrium regime in which excessive load suppresses motor ATPase activity. This non-monotonicity reflects a transition from spatially localized stress at low driving to delocalized stress at high driving, where force per motor, and thus ATPase suppression, is maximized. Crosslinker mechanics tune this transition as fascin (slip bonds) amplifies stress localization and shifts the dissipation peak to higher driving, whereas -actinin (catch bonds) stabilizes under load, delocalizes stress, and shifts the peak to lower driving. Thus, enhanced mechanochemical coupling causes additional driving to restructure rather than amplify dissipation, revealing how material system organization (bonding), and not driving alone, governs energy flow far from equilibrium.

Magnetic biofabrication enables rapid assembly of multicellular spheroids but still lacks a basis for predictive control over structure and mechanical environment. Here, we combine experiments and an individual spheroid-based model to study magnetic assembly of periosteum-derived spheroids. Spheroids are treated as discrete particles interacting through magnetic forces, contact mechanics, and interfacial friction, with parameters obtained from independent measurements. This model quantitatively captures assembly dynamics arising from magnetic force patterns and viscous drag with the well surface. The spatial distribution of magnetic forces, determined by magnet geometry and positioning, predicts the size and morphology of magnetic assembloids, including disk- and ring-like structures. Magnetic assembly further generates heterogeneous compressive stresses that depend on magnet geometry and spheroid number. Radial stresses arise collectively through inter-spheroid interactions, whereas vertical stresses are mainly determined by magnetic loading of individual spheroids. These results establish a minimal physical framework for magnetic biofabrication and provide a basis for predictive control of both tissue structure and mechanical microenvironment.

Collective cell migration is a fundamental process in morphogenesis, tissue repair, cancer invasion, and frequently occurs under geometric confinement in vivo. However, how confinement interfaces with signaling pathways that coordinate collective motion remains poorly understood. Here, we confine migrating epithelial monolayers within adhesive microstripes of defined width and observe a progressive slow-down of collective migration with increasing spatial confinement. Combining biophysical modeling, live imaging of ERK activity, and pharmacological perturbations, we show that confinement increases tissue crowding while reducing cell and nuclear projected areas, thereby shifting epithelial tissues toward a mechanically compressed state associated with dampened ERK waves. Across conditions, migration speed scales with ERK signaling dynamics, which correlates with EGFR signaling as well as cell and nuclear projected areas, together serving as quantitative proxies for the confinement-imposed mechanical state. Pharmacological inhibition of ROCK restores cell spreading, ERK signaling, and migration under strong confinement, demonstrating that this state is reversible and governed by actomyosin contractility. Together, our results identify geometric confinement as a physical regulator of a contractility-dependent mechanochemical state that controls ERK signaling and collective migration in epithelial tissues.

Cerebral cortex organoids are powerful in vitro models that recapitulate key features of human development. However, conventional methods produce cortical organoids with spontaneous, spatially disorganized cortical regions due to limited control over morphogen distribution within local environments. Here, we present a spatially engineered hydrogel platform that drives localized posterior organizer formation in cortical organoids through controlled, localized exposure to morphogens. Using a combination of bulk photopolymerization, thermal crosslinking, and digital light processing (DLP) approaches, we fabricated hydrogels with stiffness-controlled layers that preferentially deliver morphogens to one side of the organoid, selectively inducing posterior organizer formation on the exposed face. We further validated this platform by delivering fluorescently tagged dextran, used as molecular weight-matched model morphogens, to visualize spatiotemporal delivery dynamics at the organoid interface. As a proof of principle, we also demonstrated that DLP fabrication enables the printing of dual morphogen hubs, serving as a model for establishing two opposing gradients within a single organoid. Together, this hydrogel platform enables systematic spatial patterning of cell populations in organoids, more faithfully recapitulating the spatial organization and cellular diversity of native tissues and advancing higher-fidelity models for studying human development and disease.

T-cells use molecular reactions with nonequilibrium error correction, i.e., proofreading, to discriminate between nearly identical antigens with high specificity and sensitivity. These receptor binding events are known to be force sensitive, yet traditional schemes of proofreading focus on reaction kinetics alone and do not consider the role of force dependent catch/slip bond behavior or interactions with mechanically engaged coreceptors such as adhesion molecules. To address this, we propose a minimal framework for proofreading of ligand discrimination by T-cell receptors (TCRs) that uses endogenous TCR mechanosensation and substrate-mediated mechanical interactions with adhesive proteins (load sharing) to improve recognition fidelity. We leverage the catch bond behavior of cognate antigens to delay decision making and amplify TCR signaling while discarding noncognate slip bond ligands in the presence of a force. By integrating our model with existing structural and molecular data, we show that substrate mechanics regulates the transmission of active cytoskeletal forces through a molecular clutch and controls the energization of bound TCRs needed for optimal proofreading. Our work demonstrates how mechanical forces and substrate properties can augment kinetic proofreading in T-cells, suggesting biomaterial design strategies for immunotherapies that tune the mechanical microenvironment of T-cells to achieve high fidelity TCR-ligand discrimination, antigen recognition, and activation.

Implant-associated infections are driven by bacterial biofilm formation and remain difficult to eradicate using conventional antibiotic-based strategies. Here, we present a dynamically actuated reconfigurable topographical surface (DARTS) that integrates intrinsically bactericidal nanoscale surface topography with programmable mechanical actuation to achieve durable, antibiotic-free infection control. Using a scalable bottom-up nanofabrication strategy, we generate tunable wrinkled MXene topographies that exhibit contact-mediated bactericidal activity against both Gram-positive and Gram-negative bacteria without chemical leaching. Integration with a soft robotic actuator enables reversible modulation of surface geometry, which synergistically enhances bacterial removal and killing, resulting in near-complete disruption of mature biofilms. Dynamic actuation further sensitizes released bacteria to antibiotic treatment. In a mouse subcutaneous implant infection model, DARTS with actuation achieves sustained suppression of bacterial burden and markedly improves host tissue outcomes. Remote, noninvasive actuation using near-infrared laser stimulation further highlights the translational potential of this platform for implantable antibacterial applications.

The basement membrane (BM) is a specialised extracellular matrix tightly tethered to epithelial tissues. While the viscoelastic response of epithelial cells to external deformation has been widely studied, the dynamic mechanical role of its underlying BM remains poorly understood. This is mainly due to its thin, dense, non-fibrillar structure and limited number of model systems that allow live fluorescent imaging of the BM components. Using the Drosophila wing disc, we investigate the BMs response to sustained deformation and find that the tissue retains memory of its shape for up to four hours, enabled by the BMs initial elasticity. However, prolonged deformation leads to BM network rearrangement and loss of mechanical memory, resulting in permanent shape change. Our findings reveal that the BM sets the long-term viscoelastic timescale of epithelial tissues which plays a critical role in maintaining tissue architecture under mechanical stress.

The ability to induce tissue regeneration on demand using biomaterials remains a major goal in biomedical research, yet significant challenges persist. Among the most advanced biomaterial models, the nanofiber-hydrogel composite has demonstrated a striking ability to induce soft adipose tissue remodeling at the injection site without incorporating exogenous biological cues.1,2 However, the underlying mechanisms that drive such a tissue response remain unclear. Here, we show that biomaterial-induced tissue remodeling is driven by sustained and controlled inflammation mediated by macrophages in strong communication with fibroblasts. Notably, both pro-inflammatory and anti-inflammatory signals remained elevated during this process in the long-term, challenging the prevailing notion that inflammation opposes remodeling. Using macrophage depletion in mice, we demonstrate that macrophages are essential for this process. Single-cell RNA sequencing further revealed robust fibroblast-to-macrophage signaling, contrasting with the conventional macrophage-to-fibroblast paradigm, and identified unique Spp1 macrophages and Ctla2a fibroblasts within the remodeling niche. These findings provide a comprehensive view of the immune landscape in biomaterial-induced tissue remodeling, highlighting key cellular interactions, prolonged kinetics, and unexpected signaling pathways. By defining key targets and fundamental principles, this work has broad implications for advancing biomaterial-induced tissue regeneration.